removeCovariate
[Monolix] Remove covariate
Remove any of the transformed covariates (discrete and continuous) and/or latent covariates.
Call getCovariateInformation to know which covariates can be removed (only those with type "categoricaltransformed",
"continuoustransformed" or "latent").
Usage
R
removeCovariate(...)Arguments
- ...
Covariate names (comma separated).
See also
getCovariateInformation get current covariates in the model addContinuousTransformedCovariate to add a transformation of a continuous covariate addCategoricalTransformedCovariate to add a transformation of a categorical covariate addMixture to add a latent covariate
Examples
R
initializeLixoftConnectors("monolix")
project_file <- file.path(getDemoPath(), "1.creating_and_using_models", "1.1.libraries_of_models", "theophylline_project.mlxtran")
loadProject(project_file)
addContinuousTransformedCovariate( logtWEIGHT = "log(WEIGHT/70)" )
getCovariateInformation()
#> $name
#> [1] "WEIGHT" "logtWEIGHT" "SEX"
#>
#> $type
#> WEIGHT logtWEIGHT SEX
#> "continuous" "continuoustransformed" "categorical"
#>
#> $formula
#> logtWEIGHT
#> "logtWEIGHT = log(WEIGHT/70)"
#>
#> $range
#> $range$WEIGHT
#> [1] 54.6 86.4
#>
#> $range$logtWEIGHT
#> [1] -0.2484614 0.2104924
#>
#>
#> $categories
#> $categories$SEX
#> [1] "F" "M"
#>
#>
#> $covariate
#> id WEIGHT logtWEIGHT SEX
#> 1 1 79.6 0.128518900 M
#> 2 2 72.4 0.033711060 M
#> 3 3 70.5 0.007117468 M
#> 4 4 72.7 0.037846140 M
#> 5 5 54.6 -0.248461400 F
#> 6 6 80.0 0.133531400 M
#> 7 7 64.6 -0.080280830 F
#> 8 8 70.5 0.007117468 M
#> 9 9 86.4 0.210492400 M
#> 10 10 58.2 -0.184609900 F
#> 11 11 65.0 -0.074107970 F
#> 12 12 60.5 -0.145851900 F
#>
removeCovariate("logtWEIGHT")
getCovariateInformation()
#> $name
#> [1] "WEIGHT" "SEX"
#>
#> $type
#> WEIGHT SEX
#> "continuous" "categorical"
#>
#> $range
#> $range$WEIGHT
#> [1] 54.6 86.4
#>
#>
#> $categories
#> $categories$SEX
#> [1] "F" "M"
#>
#>
#> $covariate
#> id WEIGHT SEX
#> 1 1 79.6 M
#> 2 2 72.4 M
#> 3 3 70.5 M
#> 4 4 72.7 M
#> 5 5 54.6 F
#> 6 6 80.0 M
#> 7 7 64.6 F
#> 8 8 70.5 M
#> 9 9 86.4 M
#> 10 10 58.2 F
#> 11 11 65.0 F
#> 12 12 60.5 F
#>